Use these references: Use your Statistics for Health Care Management and Adminis

Use these references:
Use your Statistics for Health Care Management and Administration text to read the following:
Chapter 12, “Multiple Regression: Concepts and Calculation,” pages 395–402.
Chapter 13, “Extensions of Multiple Regression,” pages 410–411.
Casson, R. J., & Farmer, L. D. M. (2014). Understanding and checking the assumptions of linear regression: A primer for medical researchers. Clinical & Experimental Ophthalmology, 42(6), 590–596.
Frey, B. B. (Ed.). (2018). Multiple linear regression. In The SAGE encyclopedia of educational research, measurement, and evaluation (Vols. 1–4). Thousand Oaks, CA: Sage.
Larose, D. T., & Larose, C. D. (2015). Multiple regression and model building. In Data mining and predictive analytics. Hoboken, NJ: John Wiley & Sons.
Palmer, P. B., & O’Connell, D. G. (2009). Regression analysis for prediction: Understanding the process. Cardiopulmonary Physical Therapy Journal, 20(3), 23–26.
Waljee, A. K., Higgins, P. D., & Singal, A. G. (2013). A primer on predictive models [PDF]. Clinical and Translational Gastroenterology, 5(1), e44.
Use the Internet to view the following:
ProfTDub. (2010, November 12). How to make predictions from a multiple regression analysis [Video] | Transcript. Retrieved from https://www.youtube.com/watch?v=E73AJ73-S6g
SCSUEcon. (2011, August 20). Linear regression in Excel [Video] | Transcript. Retrieved from https://www.youtube.com/watch?v=TkiB1xBnjn4
Multimedia
Instructions
Hospital administration needs to make a decision on the amount of reimbursement required to cover expected costs for next year. For this assignment, using the information on hospital discharges from last year, perform multiple regression on the relationship between hospital costs and patient age, risk factors, and patient satisfaction scores, and then generate a prediction to support this health care decision. Write a 3–4-page analysis of the results in a Word document and insert the test results into this document (copied from the output file and pasted into a Word document). Refer to the “Copy From Excel to Another Office Program” resource for instructions.
Grading Criteria
The numbered assignment instructions outlined below correspond to the grading criteria in Predicting an Outcome Using Regression Models Scoring Guide, so be sure to address each point. You may also want to review the performance-level descriptions for each criterion to see how your work will be assessed
Perform the appropriate multiple regression using a dataset.
Interpret the statistical significance and effect size of the regression coefficients of data analysis.
Interpret p-value and beta values.
Interpret the fit of the regression model for the prediction of data analysis.
Interpret R-squared and goodness of fit.
Apply the statistical results of the multiple regression of data analysis to support a health care decision.
Generate a prediction with the regression equation.
Write a narrative summary that includes practical, administration-related implications of the multiple regression.
Write clearly and concisely, using correct grammar, mechanics, and APA formatting.
Additional Requirements
Your assignment should also meet the following requirements:
Written communication: Write clearly, accurately, and professionally, incorporating sources appropriately.
Length: 3–4 pages.
APA format: Cite your sources using the current APA format.
Font and font size: Times Roman, 12 point.